Macromolecules assessment from spent biomass during phycoremediation of pollutants from coke-oven wastewater: A prospective approach for production of value added products

Three cyanobacterial and microalgal cultures such as consortium of Leptolyngbya sp. and Planktothrix sp. (Type I), Tetraspora sp. NITD 18 (Type II), and consortium of Chlorella sp. and Synechococcus sp. (type III) were chosen for the growth in both BG-11 and synthetic coke-oven wastewater (STCW). Maximum productivities of protein (75.63 (mg/L)/day, lipid (13.96 (mg/L)/day) were obtained in BG-11 medium for culture type II and that for carbohydrate (86.25 (mg/L)/day) was obtained with Type I. However, in STCW, maximum productivities were obtained as carbohydrate: 75.55 (mg/L)/day (Type III), protein: 57.67 (mg/L)/day (Type III), and lipid: 12.51 (mg/L)/day (Type I). Maximum yield was obtained as follows: carbohydrate 146.47 mg/g and 122.26 mg/g (Type II), protein 435.24 mg/g and 537.05 mg/g (Type II), and lipid 111.45 mg/g and 217.47 mg/g (Type I) in BG-11 and STCW solutions, respectively. Artificial Neural Network-Genetic algorithm (ANN-GA) was used for modeling and optimization to get maximum outputs. The aim is selection of the suitable culture for the production of macromolecules under naive and stressed environment.

Automated summary

This study selected three different cyanobacterial and microalgal cultures, which showed different maximum productivities and distribution in different mediums. The ANN-GA method was used for modeling and optimization to select the suitable culture for the production of macromolecules in different environments.